Overview

Dataset statistics

Number of variables24
Number of observations142193
Missing cells2812
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory26.0 MiB
Average record size in memory192.0 B

Variable types

Numeric22
Categorical2

Alerts

Cloud3pm is highly overall correlated with Cloud9am and 1 other fieldsHigh correlation
Cloud9am is highly overall correlated with Cloud3pmHigh correlation
Humidity3pm is highly overall correlated with Humidity9amHigh correlation
Humidity9am is highly overall correlated with Humidity3pmHigh correlation
MaxTemp is highly overall correlated with MinTemp and 2 other fieldsHigh correlation
MinTemp is highly overall correlated with MaxTemp and 2 other fieldsHigh correlation
Pressure3pm is highly overall correlated with Pressure9amHigh correlation
Pressure9am is highly overall correlated with Pressure3pmHigh correlation
RainToday is highly overall correlated with RainfallHigh correlation
Rainfall is highly overall correlated with RainTodayHigh correlation
Sunshine is highly overall correlated with Cloud3pmHigh correlation
Temp3pm is highly overall correlated with MaxTemp and 2 other fieldsHigh correlation
Temp9am is highly overall correlated with MaxTemp and 2 other fieldsHigh correlation
WindGustSpeed is highly overall correlated with WindSpeed3pmHigh correlation
WindSpeed3pm is highly overall correlated with WindGustSpeedHigh correlation
Rainfall has 90275 (63.5%) zerosZeros
Sunshine has 2308 (1.6%) zerosZeros
WindSpeed9am has 8612 (6.1%) zerosZeros
Cloud9am has 8587 (6.0%) zerosZeros
Cloud3pm has 4957 (3.5%) zerosZeros

Reproduction

Analysis started2024-06-21 17:44:45.958957
Analysis finished2024-06-21 17:47:36.392079
Duration2 minutes and 50.43 seconds
Software versionydata-profiling v4.8.3
Download configurationconfig.json

Variables

Day
Real number (ℝ)

Distinct31
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.715084
Minimum1
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-21T17:47:36.547530image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median16
Q323
95-th percentile29
Maximum31
Range30
Interquartile range (IQR)15

Descriptive statistics

Standard deviation8.7981504
Coefficient of variation (CV)0.55985384
Kurtosis-1.1923838
Mean15.715084
Median Absolute Deviation (MAD)8
Skewness0.0087624362
Sum2234575
Variance77.407451
MonotonicityNot monotonic
2024-06-21T17:47:36.866464image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1 4688
 
3.3%
15 4688
 
3.3%
16 4687
 
3.3%
13 4686
 
3.3%
2 4686
 
3.3%
6 4684
 
3.3%
22 4684
 
3.3%
3 4683
 
3.3%
12 4682
 
3.3%
7 4680
 
3.3%
Other values (21) 95345
67.1%
ValueCountFrequency (%)
1 4688
3.3%
2 4686
3.3%
3 4683
3.3%
4 4674
3.3%
5 4667
3.3%
6 4684
3.3%
7 4680
3.3%
8 4671
3.3%
9 4672
3.3%
10 4664
3.3%
ValueCountFrequency (%)
31 2737
1.9%
30 4280
3.0%
29 4374
3.1%
28 4630
3.3%
27 4627
3.3%
26 4637
3.3%
25 4665
3.3%
24 4666
3.3%
23 4672
3.3%
22 4684
3.3%

Month
Real number (ℝ)

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.4025444
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-21T17:47:37.120448image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median6
Q39
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.4265055
Coefficient of variation (CV)0.53517872
Kurtosis-1.1919316
Mean6.4025444
Median Absolute Deviation (MAD)3
Skewness0.028958149
Sum910397
Variance11.74094
MonotonicityNot monotonic
2024-06-21T17:47:37.331305image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
5 13055
9.2%
3 13036
9.2%
1 12921
9.1%
6 12389
8.7%
10 11804
8.3%
7 11779
8.3%
8 11762
8.3%
11 11461
8.1%
9 11345
8.0%
4 11306
8.0%
Other values (2) 21335
15.0%
ValueCountFrequency (%)
1 12921
9.1%
2 10525
7.4%
3 13036
9.2%
4 11306
8.0%
5 13055
9.2%
6 12389
8.7%
7 11779
8.3%
8 11762
8.3%
9 11345
8.0%
10 11804
8.3%
ValueCountFrequency (%)
12 10810
7.6%
11 11461
8.1%
10 11804
8.3%
9 11345
8.0%
8 11762
8.3%
7 11779
8.3%
6 12389
8.7%
5 13055
9.2%
4 11306
8.0%
3 13036
9.2%

Location
Real number (ℝ)

Distinct44
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.020751668
Minimum0.010696729
Maximum0.024037752
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-21T17:47:37.579945image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.010696729
5-th percentile0.01795447
Q10.020760516
median0.021069954
Q30.021295
95-th percentile0.022455395
Maximum0.024037752
Range0.013341022
Interquartile range (IQR)0.00053448482

Descriptive statistics

Standard deviation0.0020926949
Coefficient of variation (CV)0.10084466
Kurtosis13.543043
Mean0.020751668
Median Absolute Deviation (MAD)0.00026020971
Skewness-3.3585457
Sum2950.742
Variance4.379372 × 10-6
MonotonicityNot monotonic
2024-06-21T17:47:37.871520image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
0.02129500046 6056
 
4.3%
0.02116137925 6018
 
4.2%
0.02101369266 5976
 
4.2%
0.02084490798 5928
 
4.2%
0.02078161372 5910
 
4.2%
0.02403775151 3418
 
2.4%
0.02346810321 3337
 
2.3%
0.02245539513 3193
 
2.2%
0.02244836244 3192
 
2.2%
0.02242023166 3188
 
2.2%
Other values (34) 95977
67.5%
ValueCountFrequency (%)
0.01069672909 1521
1.1%
0.0109639715 1559
1.1%
0.01103429845 1569
1.1%
0.01712461232 2435
1.7%
0.01795447033 2553
1.8%
0.01942430359 2762
1.9%
0.0198251672 2819
2.0%
0.02007131153 2854
2.0%
0.02044404436 2907
2.0%
0.02059173096 2928
2.1%
ValueCountFrequency (%)
0.02403775151 3418
2.4%
0.02346810321 3337
2.3%
0.02245539513 3193
2.2%
0.02244836244 3192
2.2%
0.02242023166 3188
2.2%
0.02223034889 3161
2.2%
0.02173102755 3090
2.2%
0.02133719663 3034
2.1%
0.02133016393 3033
2.1%
0.02131609854 3031
2.1%

MinTemp
Real number (ℝ)

HIGH CORRELATION 

Distinct719
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.222721
Minimum-8.5
Maximum33.9
Zeros156
Zeros (%)0.1%
Negative3407
Negative (%)2.4%
Memory size1.1 MiB
2024-06-21T17:47:38.173195image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-8.5
5-th percentile1.8
Q17.6
median12
Q316.9
95-th percentile23.1
Maximum33.9
Range42.4
Interquartile range (IQR)9.3

Descriptive statistics

Standard deviation6.4211907
Coefficient of variation (CV)0.5253487
Kurtosis-0.48983889
Mean12.222721
Median Absolute Deviation (MAD)4.6
Skewness0.02531218
Sum1737985.4
Variance41.23169
MonotonicityNot monotonic
2024-06-21T17:47:38.465144image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.6 883
 
0.6%
11 883
 
0.6%
10.2 880
 
0.6%
10.5 867
 
0.6%
10.8 860
 
0.6%
9 853
 
0.6%
12 850
 
0.6%
10 849
 
0.6%
13 844
 
0.6%
10.4 842
 
0.6%
Other values (709) 133582
93.9%
ValueCountFrequency (%)
-8.5 1
 
< 0.1%
-8.2 2
 
< 0.1%
-8 2
 
< 0.1%
-7.8 1
 
< 0.1%
-7.6 2
 
< 0.1%
-7.5 2
 
< 0.1%
-7.3 1
 
< 0.1%
-7.2 1
 
< 0.1%
-7.1 1
 
< 0.1%
-7 6
< 0.1%
ValueCountFrequency (%)
33.9 1
 
< 0.1%
31.9 1
 
< 0.1%
31.8 1
 
< 0.1%
31.4 3
< 0.1%
31.2 1
 
< 0.1%
31 1
 
< 0.1%
30.7 2
< 0.1%
30.5 1
 
< 0.1%
30.3 1
 
< 0.1%
30.2 1
 
< 0.1%

MaxTemp
Real number (ℝ)

HIGH CORRELATION 

Distinct708
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.260062
Minimum-4.8
Maximum48.1
Zeros14
Zeros (%)< 0.1%
Negative105
Negative (%)0.1%
Memory size1.1 MiB
2024-06-21T17:47:38.744288image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-4.8
5-th percentile12.8
Q117.9
median22.7
Q328.3
95-th percentile35.6
Maximum48.1
Range52.9
Interquartile range (IQR)10.4

Descriptive statistics

Standard deviation7.1537409
Coefficient of variation (CV)0.30755468
Kurtosis-0.20923469
Mean23.260062
Median Absolute Deviation (MAD)5.1
Skewness0.24093982
Sum3307418
Variance51.176009
MonotonicityNot monotonic
2024-06-21T17:47:39.049711image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 871
 
0.6%
19.8 829
 
0.6%
19 827
 
0.6%
20.4 820
 
0.6%
20.8 804
 
0.6%
19.9 803
 
0.6%
19.5 801
 
0.6%
21 799
 
0.6%
18.5 793
 
0.6%
18.2 792
 
0.6%
Other values (698) 134054
94.3%
ValueCountFrequency (%)
-4.8 1
< 0.1%
-4.1 1
< 0.1%
-3.8 1
< 0.1%
-3.7 1
< 0.1%
-3.2 1
< 0.1%
-3.1 2
< 0.1%
-3 1
< 0.1%
-2.9 1
< 0.1%
-2.7 1
< 0.1%
-2.5 2
< 0.1%
ValueCountFrequency (%)
48.1 1
 
< 0.1%
47.3 2
< 0.1%
47 1
 
< 0.1%
46.9 1
 
< 0.1%
46.8 3
< 0.1%
46.7 2
< 0.1%
46.6 1
 
< 0.1%
46.5 1
 
< 0.1%
46.4 4
< 0.1%
46.3 2
< 0.1%

Rainfall
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct679
Distinct (%)0.5%
Missing1406
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean2.3499741
Minimum0
Maximum371
Zeros90275
Zeros (%)63.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-21T17:47:39.336938image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.8
95-th percentile13
Maximum371
Range371
Interquartile range (IQR)0.8

Descriptive statistics

Standard deviation8.4651729
Coefficient of variation (CV)3.602241
Kurtosis180.0021
Mean2.3499741
Median Absolute Deviation (MAD)0
Skewness9.8880611
Sum330845.8
Variance71.659153
MonotonicityNot monotonic
2024-06-21T17:47:39.628477image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 90275
63.5%
0.2 8685
 
6.1%
0.4 3750
 
2.6%
0.6 2562
 
1.8%
0.8 2028
 
1.4%
1 1747
 
1.2%
1.2 1515
 
1.1%
1.4 1365
 
1.0%
1.6 1187
 
0.8%
1.8 1088
 
0.8%
Other values (669) 26585
 
18.7%
(Missing) 1406
 
1.0%
ValueCountFrequency (%)
0 90275
63.5%
0.1 154
 
0.1%
0.2 8685
 
6.1%
0.3 64
 
< 0.1%
0.4 3750
 
2.6%
0.5 39
 
< 0.1%
0.6 2562
 
1.8%
0.7 13
 
< 0.1%
0.8 2028
 
1.4%
0.9 15
 
< 0.1%
ValueCountFrequency (%)
371 1
< 0.1%
367.6 1
< 0.1%
278.4 1
< 0.1%
268.6 1
< 0.1%
247.2 1
< 0.1%
240 1
< 0.1%
236.8 1
< 0.1%
225 1
< 0.1%
219.6 1
< 0.1%
216.3 1
< 0.1%

Evaporation
Real number (ℝ)

Distinct6985
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.831075
Minimum0
Maximum145
Zeros240
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-21T17:47:39.927968image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.2
Q14
median8.6
Q313.2
95-th percentile16.996315
Maximum145
Range145
Interquartile range (IQR)9.2

Descriptive statistics

Standard deviation5.3140329
Coefficient of variation (CV)0.60174248
Kurtosis6.9568354
Mean8.831075
Median Absolute Deviation (MAD)4.6
Skewness0.82052353
Sum1255717
Variance28.238946
MonotonicityNot monotonic
2024-06-21T17:47:40.245989image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13.81360198 9124
 
6.4%
4 3282
 
2.3%
8 2574
 
1.8%
12.50770173 2524
 
1.8%
2.2 2057
 
1.4%
2 1996
 
1.4%
2.6 1975
 
1.4%
2.4 1963
 
1.4%
1.8 1945
 
1.4%
3 1937
 
1.4%
Other values (6975) 112816
79.3%
ValueCountFrequency (%)
0 240
 
0.2%
0.1 8
 
< 0.1%
0.2 497
 
0.3%
0.3 10
 
< 0.1%
0.4 760
0.5%
0.5 14
 
< 0.1%
0.6 1082
0.8%
0.7 24
 
< 0.1%
0.8 1358
1.0%
0.9 28
 
< 0.1%
ValueCountFrequency (%)
145 1
< 0.1%
86.2 1
< 0.1%
82.4 1
< 0.1%
81.2 1
< 0.1%
77.3 1
< 0.1%
74.8 1
< 0.1%
72.2 1
< 0.1%
70.4 1
< 0.1%
70 1
< 0.1%
68.8 2
< 0.1%

Sunshine
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct4573
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.755525
Minimum0
Maximum14.5
Zeros2308
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-21T17:47:40.544333image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.4
Q14.4699564
median6.560076
Q38.9
95-th percentile12.1
Maximum14.5
Range14.5
Interquartile range (IQR)4.4300436

Descriptive statistics

Standard deviation3.0413841
Coefficient of variation (CV)0.45020692
Kurtosis-0.31620804
Mean6.755525
Median Absolute Deviation (MAD)2.1162599
Skewness0.083012787
Sum960588.36
Variance9.2500173
MonotonicityNot monotonic
2024-06-21T17:47:40.940236image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.560075951 15988
 
11.2%
5.93597513 4075
 
2.9%
6.678277296 3520
 
2.5%
4.469956391 2543
 
1.8%
4.066036568 2309
 
1.6%
0 2308
 
1.6%
3.935961127 1975
 
1.4%
4.443816028 1591
 
1.1%
6.403618055 1285
 
0.9%
6.401585807 1248
 
0.9%
Other values (4563) 105351
74.1%
ValueCountFrequency (%)
0 2308
1.6%
0.1 533
 
0.4%
0.2 511
 
0.4%
0.3 422
 
0.3%
0.4 319
 
0.2%
0.5 315
 
0.2%
0.6 293
 
0.2%
0.7 338
 
0.2%
0.8 314
 
0.2%
0.9 318
 
0.2%
ValueCountFrequency (%)
14.5 1
 
< 0.1%
14.3 4
 
< 0.1%
14.2 2
 
< 0.1%
14.1 6
 
< 0.1%
14 15
 
< 0.1%
13.9 22
 
< 0.1%
13.8 56
 
< 0.1%
13.7 117
0.1%
13.6 180
0.1%
13.5 181
0.1%

WindGustDir
Real number (ℝ)

Distinct1412
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06330339
Minimum0.048418296
Maximum0.073609658
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-21T17:47:41.388069image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.048418296
5-th percentile0.049381694
Q10.060152187
median0.06621106
Q30.067987325
95-th percentile0.073609658
Maximum0.073609658
Range0.025191363
Interquartile range (IQR)0.0078351385

Descriptive statistics

Standard deviation0.0068073318
Coefficient of variation (CV)0.10753503
Kurtosis-0.30573044
Mean0.06330339
Median Absolute Deviation (MAD)0.0038535936
Skewness-0.74880915
Sum9001.2989
Variance4.6339766 × 10-5
MonotonicityNot monotonic
2024-06-21T17:47:41.866173image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.07360965807 9780
 
6.9%
0.07006465306 9309
 
6.5%
0.06827333419 9071
 
6.4%
0.06798732529 9033
 
6.4%
0.06768626329 8993
 
6.3%
0.0673550951 8949
 
6.3%
0.0669938207 8901
 
6.3%
0.06621105951 8797
 
6.2%
0.06480359468 8610
 
6.1%
0.06070915153 8066
 
5.7%
Other values (1402) 52684
37.1%
ValueCountFrequency (%)
0.04841829554 6433
4.5%
0.04938169393 6561
4.6%
0.05313744233 7060
5.0%
0.05498144705 7305
5.1%
0.05672092443 1
 
< 0.1%
0.05753731681 3
 
< 0.1%
0.05758096731 1
 
< 0.1%
0.05777918555 1
 
< 0.1%
0.05782883688 2
 
< 0.1%
0.05784425263 1
 
< 0.1%
ValueCountFrequency (%)
0.07360965807 9780
6.9%
0.07006465306 9309
6.5%
0.06827333419 9071
6.4%
0.06798732529 9033
6.4%
0.06768626329 8993
6.3%
0.0673550951 8949
6.3%
0.0669938207 8901
6.3%
0.06621105951 8797
6.2%
0.06583726121 1
 
< 0.1%
0.06582852184 2
 
< 0.1%

WindGustSpeed
Real number (ℝ)

HIGH CORRELATION 

Distinct2183
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.849221
Minimum6
Maximum135
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-21T17:47:42.241606image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile20
Q131
median39
Q350
95-th percentile81
Maximum135
Range129
Interquartile range (IQR)19

Descriptive statistics

Standard deviation17.832887
Coefficient of variation (CV)0.41617763
Kurtosis2.2637004
Mean42.849221
Median Absolute Deviation (MAD)9
Skewness1.3981895
Sum6092859.3
Variance318.01187
MonotonicityNot monotonic
2024-06-21T17:47:42.751830image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35 9070
 
6.4%
39 8656
 
6.1%
31 8310
 
5.8%
37 7903
 
5.6%
33 7814
 
5.5%
41 7236
 
5.1%
30 6943
 
4.9%
43 6513
 
4.6%
28 6382
 
4.5%
44 5341
 
3.8%
Other values (2173) 68025
47.8%
ValueCountFrequency (%)
6 1
 
< 0.1%
7 18
 
< 0.1%
9 91
 
0.1%
11 190
 
0.1%
13 529
 
0.4%
15 829
 
0.6%
17 1375
1.0%
19 1728
1.2%
20 2598
1.8%
22 2787
2.0%
ValueCountFrequency (%)
135 3
 
< 0.1%
130 1
 
< 0.1%
126 2
 
< 0.1%
124 2
 
< 0.1%
122 2
 
< 0.1%
120 3
 
< 0.1%
117 4
< 0.1%
115 5
< 0.1%
113 8
< 0.1%
111.8914897 1
 
< 0.1%

WindDir9am
Real number (ℝ)

Distinct1187
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.063691637
Minimum0.051770313
Maximum0.08619307
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-21T17:47:43.276477image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.051770313
5-th percentile0.054425783
Q10.057179604
median0.062490543
Q30.067831745
95-th percentile0.08619307
Maximum0.08619307
Range0.034422757
Interquartile range (IQR)0.010652141

Descriptive statistics

Standard deviation0.0082606881
Coefficient of variation (CV)0.12969816
Kurtosis1.8316903
Mean0.063691637
Median Absolute Deviation (MAD)0.0053109396
Skewness1.3390612
Sum9056.5049
Variance6.8238968 × 10-5
MonotonicityNot monotonic
2024-06-21T17:47:43.804132image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.08619307006 11393
 
8.0%
0.06931457104 9162
 
6.4%
0.06827054017 9024
 
6.3%
0.06783174459 8966
 
6.3%
0.06469965199 8552
 
6.0%
0.06425329097 8493
 
6.0%
0.0624905432 8260
 
5.8%
0.06231653805 8237
 
5.8%
0.06013012559 7948
 
5.6%
0.05931305795 7840
 
5.5%
Other values (1177) 54318
38.2%
ValueCountFrequency (%)
0.05177031321 6843
4.8%
0.05442578302 7194
5.1%
0.05634740505 7448
5.2%
0.0569450749 7527
5.3%
0.05717960357 7558
5.3%
0.05851868664 7735
5.4%
0.05931305795 7840
5.5%
0.06008432828 1
 
< 0.1%
0.06013012559 7948
5.6%
0.06077269754 1
 
< 0.1%
ValueCountFrequency (%)
0.08619307006 11393
8.0%
0.0777214082 1
 
< 0.1%
0.07741221328 3
 
< 0.1%
0.07737770964 1
 
< 0.1%
0.07723761848 1
 
< 0.1%
0.07711980154 1
 
< 0.1%
0.07710511245 1
 
< 0.1%
0.07701955238 1
 
< 0.1%
0.07686992313 3
 
< 0.1%
0.07681506637 2
 
< 0.1%

WindDir3pm
Real number (ℝ)

Distinct790
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.063361228
Minimum0.046555648
Maximum0.077036448
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-21T17:47:44.343469image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.046555648
5-th percentile0.055803201
Q10.058982047
median0.062536575
Q30.067398765
95-th percentile0.077036448
Maximum0.077036448
Range0.0304808
Interquartile range (IQR)0.0084167178

Descriptive statistics

Standard deviation0.0068322891
Coefficient of variation (CV)0.10783076
Kurtosis0.26124015
Mean0.063361228
Median Absolute Deviation (MAD)0.0042235422
Skewness-0.081116804
Sum9009.5231
Variance4.6680175 × 10-5
MonotonicityNot monotonic
2024-06-21T17:47:44.856389image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.07703644836 10663
 
7.5%
0.07160351118 9911
 
7.0%
0.06934219557 9598
 
6.7%
0.06739876458 9329
 
6.6%
0.06633674096 9182
 
6.5%
0.06604775494 9142
 
6.4%
0.06261604595 8667
 
6.1%
0.06253657479 8656
 
6.1%
0.0611783405 8468
 
6.0%
0.06055702055 8382
 
5.9%
Other values (780) 50195
35.3%
ValueCountFrequency (%)
0.04655564787 6444
4.5%
0.05580320052 7724
5.4%
0.05586822237 7733
5.4%
0.05786945057 8010
5.6%
0.05898204674 8164
5.7%
0.06026803453 8342
5.9%
0.06055702055 8382
5.9%
0.0611783405 8468
6.0%
0.06253657479 8656
6.1%
0.06261604595 8667
6.1%
ValueCountFrequency (%)
0.07703644836 10663
7.5%
0.07160351118 9911
7.0%
0.0697590485 1
 
< 0.1%
0.06966693873 1
 
< 0.1%
0.06960972719 1
 
< 0.1%
0.06959537503 1
 
< 0.1%
0.06934219557 9598
6.7%
0.06923202058 1
 
< 0.1%
0.06915930669 1
 
< 0.1%
0.06837130578 1
 
< 0.1%

WindSpeed9am
Real number (ℝ)

ZEROS 

Distinct530
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.007521
Minimum0
Maximum130
Zeros8612
Zeros (%)6.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-21T17:47:45.138973image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17
median13
Q319
95-th percentile30
Maximum130
Range130
Interquartile range (IQR)12

Descriptive statistics

Standard deviation8.8535203
Coefficient of variation (CV)0.63205477
Kurtosis1.2605312
Mean14.007521
Median Absolute Deviation (MAD)6
Skewness0.77685142
Sum1991771.4
Variance78.384821
MonotonicityNot monotonic
2024-06-21T17:47:45.448981image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 13400
 
9.4%
13 12851
 
9.0%
11 11514
 
8.1%
17 10599
 
7.5%
7 10587
 
7.4%
15 10396
 
7.3%
6 8989
 
6.3%
0 8612
 
6.1%
19 8579
 
6.0%
20 7904
 
5.6%
Other values (520) 38762
27.3%
ValueCountFrequency (%)
0 8612
6.1%
2 4544
3.2%
4 6292
4.4%
6 8989
6.3%
6.375860842 1
 
< 0.1%
7 10587
7.4%
7.697559987 1
 
< 0.1%
7.714525808 1
 
< 0.1%
8.089770521 1
 
< 0.1%
8.341813268 1
 
< 0.1%
ValueCountFrequency (%)
130 1
 
< 0.1%
87 2
 
< 0.1%
83 1
 
< 0.1%
74 4
 
< 0.1%
72 1
 
< 0.1%
69 2
 
< 0.1%
67 3
 
< 0.1%
65 8
< 0.1%
63 8
< 0.1%
61 11
< 0.1%

WindSpeed3pm
Real number (ℝ)

HIGH CORRELATION 

Distinct689
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.940811
Minimum0
Maximum87
Zeros1096
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-21T17:47:45.749216image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q113
median19
Q324
95-th percentile35
Maximum87
Range87
Interquartile range (IQR)11

Descriptive statistics

Standard deviation9.0669045
Coefficient of variation (CV)0.47869674
Kurtosis0.58602595
Mean18.940811
Median Absolute Deviation (MAD)6
Skewness0.63558271
Sum2693250.7
Variance82.208757
MonotonicityNot monotonic
2024-06-21T17:47:46.031703image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13 12338
 
8.7%
17 12306
 
8.7%
20 11504
 
8.1%
15 11301
 
7.9%
19 11034
 
7.8%
11 9844
 
6.9%
9 9577
 
6.7%
24 8846
 
6.2%
22 8410
 
5.9%
28 6395
 
4.5%
Other values (679) 40638
28.6%
ValueCountFrequency (%)
0 1096
0.8%
2 1012
0.7%
2.312164204 1
 
< 0.1%
3.413839746 1
 
< 0.1%
3.716356273 1
 
< 0.1%
4 2213
1.6%
4.036909671 3
 
< 0.1%
4.177904014 1
 
< 0.1%
4.315491831 1
 
< 0.1%
4.328040033 1
 
< 0.1%
ValueCountFrequency (%)
87 1
 
< 0.1%
83 2
 
< 0.1%
78 1
 
< 0.1%
76 2
 
< 0.1%
74 1
 
< 0.1%
72 2
 
< 0.1%
69 3
 
< 0.1%
67 1
 
< 0.1%
65 17
< 0.1%
63 13
< 0.1%

Humidity9am
Real number (ℝ)

HIGH CORRELATION 

Distinct757
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68.874169
Minimum0
Maximum101.25617
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-21T17:47:46.333599image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile34
Q157
median70
Q383
95-th percentile98
Maximum101.25617
Range101.25617
Interquartile range (IQR)26

Descriptive statistics

Standard deviation18.994459
Coefficient of variation (CV)0.27578494
Kurtosis-0.029540756
Mean68.874169
Median Absolute Deviation (MAD)13
Skewness-0.48110271
Sum9793424.8
Variance360.78946
MonotonicityNot monotonic
2024-06-21T17:47:46.637319image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99 3350
 
2.4%
70 2985
 
2.1%
69 2962
 
2.1%
68 2961
 
2.1%
65 2952
 
2.1%
71 2939
 
2.1%
66 2916
 
2.1%
67 2895
 
2.0%
64 2867
 
2.0%
75 2859
 
2.0%
Other values (747) 112507
79.1%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 5
 
< 0.1%
2 8
 
< 0.1%
3 10
 
< 0.1%
4 20
 
< 0.1%
5 27
 
< 0.1%
6 37
< 0.1%
7 43
< 0.1%
8 56
< 0.1%
9 71
< 0.1%
ValueCountFrequency (%)
101.2561707 1
 
< 0.1%
101.1028448 1
 
< 0.1%
100.7609564 1
 
< 0.1%
100.2289758 1
 
< 0.1%
100 2827
2.0%
99.6165976 1
 
< 0.1%
99.45859606 1
 
< 0.1%
99.4154415 1
 
< 0.1%
99 3350
2.4%
98.73817683 1
 
< 0.1%

Humidity3pm
Real number (ℝ)

HIGH CORRELATION 

Distinct908
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.978105
Minimum0
Maximum100
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-21T17:47:46.927263image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile17
Q137
median52
Q366
95-th percentile87.02402
Maximum100
Range100
Interquartile range (IQR)29

Descriptive statistics

Standard deviation20.905033
Coefficient of variation (CV)0.40218921
Kurtosis-0.55200022
Mean51.978105
Median Absolute Deviation (MAD)15
Skewness0.013216138
Sum7390922.7
Variance437.02041
MonotonicityNot monotonic
2024-06-21T17:47:47.241044image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
52 2699
 
1.9%
55 2685
 
1.9%
57 2679
 
1.9%
53 2650
 
1.9%
59 2639
 
1.9%
58 2604
 
1.8%
54 2595
 
1.8%
51 2577
 
1.8%
56 2574
 
1.8%
50 2573
 
1.8%
Other values (898) 115918
81.5%
ValueCountFrequency (%)
0 4
 
< 0.1%
1 26
 
< 0.1%
2 35
 
< 0.1%
3 63
 
< 0.1%
4 113
 
0.1%
5 156
 
0.1%
6 239
0.2%
7 302
0.2%
8 420
0.3%
9 478
0.3%
ValueCountFrequency (%)
100 393
0.3%
99 428
0.3%
98 588
0.4%
97 393
0.3%
96 451
0.3%
95 452
0.3%
94 550
0.4%
93 593
0.4%
92.89504807 1
 
< 0.1%
92 636
0.4%

Pressure9am
Real number (ℝ)

HIGH CORRELATION 

Distinct2525
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1016.8395
Minimum980.5
Maximum1041
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-21T17:47:47.586333image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum980.5
5-th percentile1006.1
Q11011.2
median1016.7
Q31021.9
95-th percentile1029.2
Maximum1041
Range60.5
Interquartile range (IQR)10.7

Descriptive statistics

Standard deviation7.2693299
Coefficient of variation (CV)0.007148945
Kurtosis-0.082811579
Mean1016.8395
Median Absolute Deviation (MAD)5.3
Skewness0.096044017
Sum1.4458746 × 108
Variance52.843157
MonotonicityNot monotonic
2024-06-21T17:47:47.885878image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1008.653638 3197
 
2.2%
1016.4 804
 
0.6%
1017.9 779
 
0.5%
1018.7 764
 
0.5%
1018 761
 
0.5%
1015.9 757
 
0.5%
1017.3 756
 
0.5%
1017.8 755
 
0.5%
1016.3 753
 
0.5%
1017.2 745
 
0.5%
Other values (2515) 132122
92.9%
ValueCountFrequency (%)
980.5 1
< 0.1%
982 1
< 0.1%
982.2 1
< 0.1%
982.3 1
< 0.1%
982.9 2
< 0.1%
983.7 1
< 0.1%
983.9 1
< 0.1%
984.4 1
< 0.1%
984.6 2
< 0.1%
985 1
< 0.1%
ValueCountFrequency (%)
1041 1
 
< 0.1%
1040.9 1
 
< 0.1%
1040.6 2
< 0.1%
1040.5 1
 
< 0.1%
1040.4 3
< 0.1%
1040.3 3
< 0.1%
1040.2 2
< 0.1%
1040.1 3
< 0.1%
1040 1
 
< 0.1%
1039.9 3
< 0.1%

Pressure3pm
Real number (ℝ)

HIGH CORRELATION 

Distinct1739
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1014.7294
Minimum977.1
Maximum1039.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-21T17:47:48.190689image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum977.1
5-th percentile1004.4
Q11009.59
median1014.3
Q31019.5
95-th percentile1026.6
Maximum1039.6
Range62.5
Interquartile range (IQR)9.9099803

Descriptive statistics

Standard deviation6.9376012
Coefficient of variation (CV)0.0068368978
Kurtosis0.069777526
Mean1014.7294
Median Absolute Deviation (MAD)4.8480172
Skewness0.13336869
Sum1.4428742 × 108
Variance48.13031
MonotonicityNot monotonic
2024-06-21T17:47:48.498176image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1009.59002 3306
 
2.3%
1015.5 773
 
0.5%
1015.3 767
 
0.5%
1015.7 763
 
0.5%
1015.6 761
 
0.5%
1015.1 752
 
0.5%
1013.5 751
 
0.5%
1015.8 751
 
0.5%
1015.4 745
 
0.5%
1016 738
 
0.5%
Other values (1729) 132086
92.9%
ValueCountFrequency (%)
977.1 1
< 0.1%
978.2 1
< 0.1%
979 1
< 0.1%
980.2 2
< 0.1%
981.2 1
< 0.1%
981.4 1
< 0.1%
981.9 1
< 0.1%
982.2 1
< 0.1%
982.6 1
< 0.1%
982.9 1
< 0.1%
ValueCountFrequency (%)
1039.6 1
 
< 0.1%
1038.9 1
 
< 0.1%
1038.5 1
 
< 0.1%
1038.4 1
 
< 0.1%
1038.2 1
 
< 0.1%
1038 1
 
< 0.1%
1037.9 2
< 0.1%
1037.8 2
< 0.1%
1037.7 3
< 0.1%
1037.6 1
 
< 0.1%

Cloud9am
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct3438
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.8777398
Minimum0
Maximum9
Zeros8587
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-21T17:47:48.797103image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.5897106
median2.8487032
Q36
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)3.4102894

Descriptive statistics

Standard deviation2.4205661
Coefficient of variation (CV)0.62422086
Kurtosis-1.0745493
Mean3.8777398
Median Absolute Deviation (MAD)1.8487032
Skewness0.35254526
Sum551387.45
Variance5.8591401
MonotonicityNot monotonic
2024-06-21T17:47:49.089504image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.813306171 20065
14.1%
7 19749
13.9%
1 15558
10.9%
8 14389
10.1%
0 8587
 
6.0%
6 8072
 
5.7%
2 6442
 
4.5%
3 5854
 
4.1%
5 5510
 
3.9%
4 4373
 
3.1%
Other values (3428) 33594
23.6%
ValueCountFrequency (%)
0 8587
6.0%
1 15558
10.9%
1.097996586 1
 
< 0.1%
1.15308534 2
 
< 0.1%
1.277373186 1
 
< 0.1%
1.380705219 1
 
< 0.1%
1.441062925 1
 
< 0.1%
1.488606272 1
 
< 0.1%
1.510034903 1
 
< 0.1%
1.512108268 1
 
< 0.1%
ValueCountFrequency (%)
9 2
 
< 0.1%
8 14389
10.1%
7 19749
13.9%
6.75148469 1
 
< 0.1%
6.652578585 1
 
< 0.1%
6.539684053 1
 
< 0.1%
6.496647922 1
 
< 0.1%
6.448817129 1
 
< 0.1%
6.422264913 1
 
< 0.1%
6.38845889 1
 
< 0.1%

Cloud3pm
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct2592
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.5036496
Minimum0
Maximum9
Zeros4957
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-06-21T17:47:49.374399image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13.4435639
median4.5949999
Q36
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)2.5564361

Descriptive statistics

Standard deviation2.1223849
Coefficient of variation (CV)0.47125887
Kurtosis-0.49759574
Mean4.5036496
Median Absolute Deviation (MAD)1.4050001
Skewness-0.28769327
Sum640387.45
Variance4.5045175
MonotonicityNot monotonic
2024-06-21T17:47:49.666436image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.594999946 18307
12.9%
7 18052
12.7%
1 14827
 
10.4%
8 12407
 
8.7%
6 8869
 
6.2%
2 7153
 
5.0%
3 6836
 
4.8%
5 6743
 
4.7%
4 5254
 
3.7%
0 4957
 
3.5%
Other values (2582) 38788
27.3%
ValueCountFrequency (%)
0 4957
 
3.5%
1 14827
10.4%
1.408564823 1
 
< 0.1%
1.640742314 1
 
< 0.1%
1.644734378 6
 
< 0.1%
1.697794019 1
 
< 0.1%
1.704839499 1
 
< 0.1%
1.741193798 5
 
< 0.1%
1.763416515 1
 
< 0.1%
1.776093502 1
 
< 0.1%
ValueCountFrequency (%)
9 1
 
< 0.1%
8 12407
8.7%
7.520331459 2
 
< 0.1%
7.329977872 1
 
< 0.1%
7.325343279 1
 
< 0.1%
7.308699534 1
 
< 0.1%
7.217879485 1
 
< 0.1%
7.20800892 1
 
< 0.1%
7.184597869 1
 
< 0.1%
7.181349798 1
 
< 0.1%

Temp9am
Real number (ℝ)

HIGH CORRELATION 

Distinct706
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.042074
Minimum-7.2
Maximum40.2
Zeros35
Zeros (%)< 0.1%
Negative424
Negative (%)0.3%
Memory size1.1 MiB
2024-06-21T17:47:49.942385image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-7.2
5-th percentile6.9
Q112.3
median16.8
Q321.6
95-th percentile28.3
Maximum40.2
Range47.4
Interquartile range (IQR)9.3

Descriptive statistics

Standard deviation6.5237438
Coefficient of variation (CV)0.38280222
Kurtosis-0.37386898
Mean17.042074
Median Absolute Deviation (MAD)4.7
Skewness0.087848867
Sum2423263.6
Variance42.559233
MonotonicityNot monotonic
2024-06-21T17:47:50.221174image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17 901
 
0.6%
13.8 887
 
0.6%
14.8 873
 
0.6%
16 869
 
0.6%
16.6 855
 
0.6%
14 855
 
0.6%
15 852
 
0.6%
16.5 844
 
0.6%
13 831
 
0.6%
14.4 827
 
0.6%
Other values (696) 133599
94.0%
ValueCountFrequency (%)
-7.2 1
 
< 0.1%
-7 1
 
< 0.1%
-6.2 1
 
< 0.1%
-5.9 1
 
< 0.1%
-5.6 2
 
< 0.1%
-5.5 2
 
< 0.1%
-5.3 2
 
< 0.1%
-5.2 5
< 0.1%
-4.8 1
 
< 0.1%
-4.5 2
 
< 0.1%
ValueCountFrequency (%)
40.2 1
< 0.1%
39.4 1
< 0.1%
39.1 1
< 0.1%
39 1
< 0.1%
38.9 1
< 0.1%
38.6 1
< 0.1%
38.3 1
< 0.1%
38.2 1
< 0.1%
38 1
< 0.1%
37.9 1
< 0.1%

Temp3pm
Real number (ℝ)

HIGH CORRELATION 

Distinct892
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.744945
Minimum-5.4
Maximum46.7
Zeros16
Zeros (%)< 0.1%
Negative172
Negative (%)0.1%
Memory size1.1 MiB
2024-06-21T17:47:50.513714image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-5.4
5-th percentile11.6
Q116.7
median21.3
Q326.3
95-th percentile33.6
Maximum46.7
Range52.1
Interquartile range (IQR)9.6

Descriptive statistics

Standard deviation6.8855135
Coefficient of variation (CV)0.31664892
Kurtosis-0.1209206
Mean21.744945
Median Absolute Deviation (MAD)4.8
Skewness0.2171308
Sum3091979
Variance47.410297
MonotonicityNot monotonic
2024-06-21T17:47:50.794388image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 871
 
0.6%
19 858
 
0.6%
18.5 856
 
0.6%
18.4 856
 
0.6%
17.8 845
 
0.6%
19.2 826
 
0.6%
19.4 825
 
0.6%
19.3 821
 
0.6%
18 821
 
0.6%
17 814
 
0.6%
Other values (882) 133800
94.1%
ValueCountFrequency (%)
-5.4 1
 
< 0.1%
-5.1 1
 
< 0.1%
-4.4 1
 
< 0.1%
-4.2 1
 
< 0.1%
-4.1 1
 
< 0.1%
-4 1
 
< 0.1%
-3.9 2
< 0.1%
-3.8 1
 
< 0.1%
-3.7 3
< 0.1%
-3.5 3
< 0.1%
ValueCountFrequency (%)
46.7 1
 
< 0.1%
46.2 1
 
< 0.1%
46.1 3
< 0.1%
45.9 1
 
< 0.1%
45.8 2
< 0.1%
45.4 1
 
< 0.1%
45.3 2
< 0.1%
45.2 2
< 0.1%
45 1
 
< 0.1%
44.9 1
 
< 0.1%

RainToday
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing1406
Missing (%)1.0%
Memory size1.1 MiB
0.0
109332 
1.0
31455 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters422361
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 109332
76.9%
1.0 31455
 
22.1%
(Missing) 1406
 
1.0%

Length

2024-06-21T17:47:51.054823image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-21T17:47:51.307175image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
0.0 109332
77.7%
1.0 31455
 
22.3%

Most occurring characters

ValueCountFrequency (%)
0 250119
59.2%
. 140787
33.3%
1 31455
 
7.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 422361
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 250119
59.2%
. 140787
33.3%
1 31455
 
7.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 422361
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 250119
59.2%
. 140787
33.3%
1 31455
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 422361
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 250119
59.2%
. 140787
33.3%
1 31455
 
7.4%

RainTomorrow
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.1 MiB
0.0
110316 
1.0
31877 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters426579
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 110316
77.6%
1.0 31877
 
22.4%

Length

2024-06-21T17:47:51.560622image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-21T17:47:51.824854image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
0.0 110316
77.6%
1.0 31877
 
22.4%

Most occurring characters

ValueCountFrequency (%)
0 252509
59.2%
. 142193
33.3%
1 31877
 
7.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 426579
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 252509
59.2%
. 142193
33.3%
1 31877
 
7.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 426579
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 252509
59.2%
. 142193
33.3%
1 31877
 
7.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 426579
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 252509
59.2%
. 142193
33.3%
1 31877
 
7.5%

Interactions

2024-06-21T17:47:27.558208image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:03.507645image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:13.272748image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:21.712291image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:27.840605image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:34.365770image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:40.784141image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:47.382187image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:54.334887image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:00.207410image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:07.645519image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:13.574572image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:20.804411image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:27.143928image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:34.481520image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:40.526437image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:47.741560image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:54.129541image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:47:00.991869image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:47:08.160241image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:47:14.472832image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:47:20.762365image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:47:27.947804image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:04.450043image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:13.523600image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:22.087731image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:28.100640image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:34.777803image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:41.050551image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:47.695950image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:54.612064image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:00.477198image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:07.939419image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:13.870568image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:21.063583image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:27.410068image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:34.757118image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:40.808615image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:48.009208image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:54.396874image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:47:01.415898image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:47:08.408757image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:47:14.873314image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:47:21.018161image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:47:28.297900image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:05.258073image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:13.795051image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:22.462552image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:28.372122image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:35.117707image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:41.306015image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:48.115443image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:54.876281image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:00.776884image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:08.212409image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:14.125377image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:21.323089image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:27.682614image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:34.999453image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:41.065617image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:48.258219image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:54.652790image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:47:01.807650image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:47:08.670204image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:47:15.239189image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:47:21.281920image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:47:28.692324image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:06.045440image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:14.067809image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:22.769285image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:28.634157image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:35.513546image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:41.578287image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:48.541501image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:55.143907image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:01.116783image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:08.486828image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:14.424006image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:21.586963image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:27.982496image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:35.261781image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:41.349728image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:48.516376image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:54.932885image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:47:02.226798image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:47:08.956191image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:47:15.627605image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:47:21.536274image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:47:29.036679image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:06.970383image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:14.305912image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:23.015327image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:28.881158image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:35.937612image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:41.857883image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:48.895043image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:55.392942image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:01.482406image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:08.748189image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:14.673436image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:21.859373image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:28.231622image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:35.510397image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:41.622183image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:48.773449image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:55.202488image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:47:02.492134image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:47:09.206044image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:47:16.006582image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
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2024-06-21T17:45:17.156925image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:25.735085image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:31.527563image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:38.743911image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:44.609670image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:52.198881image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:58.109574image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:05.592784image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:11.468219image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:18.612937image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:25.054950image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:31.887744image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:38.099283image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:44.641287image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:52.065717image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:57.958619image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:47:06.046088image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:47:11.816608image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:47:18.724482image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:47:25.167052image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:47:32.438670image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:11.443499image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:17.407610image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:25.995966image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:32.059506image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:39.001157image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:44.885264image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:52.473991image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:58.375954image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:05.853787image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:11.732006image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:18.981131image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:25.302856image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:32.302221image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:38.356570image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:44.996775image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:52.317327image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:58.306629image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:47:06.302365image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:47:12.054248image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:47:18.973256image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:47:25.424571image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:47:32.691976image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:11.714979image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:17.656683image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:26.252839image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:32.307848image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:39.255051image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:45.161177image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:52.744826image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:58.646628image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:06.120904image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:11.992105image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:19.228390image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:25.564412image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:32.705697image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:38.611717image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:45.391350image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:52.571468image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:58.705084image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:47:06.576509image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:47:12.378442image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:47:19.242610image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:47:25.664623image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:47:32.950845image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:11.991355image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:17.940803image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:26.531918image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:32.584001image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:39.521265image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:45.435544image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:53.014300image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:58.924850image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:06.381981image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:12.270404image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:19.500973image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:25.861180image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:33.167644image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:39.204876image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:45.787564image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:52.853187image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:59.092427image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:47:06.849886image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:47:12.749133image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:47:19.493365image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:47:25.932218image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:47:33.212495image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:12.255415image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:18.207108image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:26.803036image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:32.994380image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:39.792694image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:46.034945image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:53.284295image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:59.188039image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:06.646532image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:12.542226image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:19.781181image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:26.122074image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:33.477230image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:39.535996image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:46.212547image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:53.124346image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:59.438734image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:47:07.122217image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:47:13.147190image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:47:19.773371image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:47:26.189926image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:47:33.444460image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:12.505748image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:18.450804image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:27.059089image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:33.316270image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:40.044286image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:46.303376image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:53.560220image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:59.444678image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:06.894175image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:12.811418image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:20.025500image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:26.359370image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:33.733234image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:39.783388image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:46.617583image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:53.373163image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:59.816729image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:47:07.379373image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:47:13.462566image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:47:20.006879image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:47:26.500883image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:47:33.677671image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:12.781126image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:18.839246image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:27.335128image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:33.683383image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:40.293610image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:46.590232image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:53.829195image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:59.705508image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:07.153167image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:13.060291image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:20.278586image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:26.610542image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:33.981898image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:40.023870image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:46.983586image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:53.614524image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:47:00.175898image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:47:07.651549image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:47:13.778710image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:47:20.261971image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:47:26.844431image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:47:33.936700image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:13.029898image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:19.208700image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:27.577453image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:33.997308image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:40.538434image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:46.996817image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:54.084957image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:45:59.959769image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:07.391054image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:13.314859image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:20.534219image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:26.893444image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:34.240322image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:40.268404image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:47.389881image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:46:53.871384image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:47:00.573212image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:47:07.911519image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:47:14.099191image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:47:20.504845image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-21T17:47:27.187346image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Correlations

2024-06-21T17:47:52.056246image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Cloud3pmCloud9amDayEvaporationHumidity3pmHumidity9amLocationMaxTempMinTempMonthPressure3pmPressure9amRainTodayRainTomorrowRainfallSunshineTemp3pmTemp9amWindDir3pmWindDir9amWindGustDirWindGustSpeedWindSpeed3pmWindSpeed9am
Cloud3pm1.0000.517-0.001-0.0330.3640.2130.002-0.1630.047-0.017-0.085-0.1120.2990.3370.176-0.551-0.197-0.0570.024-0.0260.0200.0890.0300.063
Cloud9am0.5171.0000.015-0.0900.3600.3060.096-0.1700.113-0.018-0.049-0.0870.2580.3360.292-0.466-0.178-0.0450.039-0.0270.0310.0840.0710.068
Day-0.0010.0151.000-0.0060.0130.017-0.000-0.0000.0010.009-0.017-0.0160.0110.0160.003-0.006-0.001-0.002-0.0090.006-0.008-0.011-0.011-0.008
Evaporation-0.033-0.090-0.0061.000-0.076-0.129-0.2960.2030.170-0.016-0.174-0.1940.3650.100-0.013-0.0410.1930.2130.0090.0190.0030.0920.0550.095
Humidity3pm0.3640.3600.013-0.0761.0000.624-0.063-0.4350.044-0.0120.027-0.0470.3750.4840.432-0.470-0.480-0.1600.021-0.032-0.0270.0140.043-0.040
Humidity9am0.2130.3060.017-0.1290.6241.000-0.052-0.462-0.217-0.0880.1300.0790.3700.2660.442-0.394-0.452-0.4310.010-0.014-0.008-0.187-0.151-0.282
Location0.0020.096-0.000-0.296-0.063-0.0521.000-0.0050.0040.0090.0190.0500.0460.047-0.0160.1070.004-0.015-0.0510.013-0.029-0.0070.016-0.050
MaxTemp-0.163-0.170-0.0000.203-0.435-0.462-0.0051.0000.732-0.174-0.382-0.2690.2310.162-0.2980.3170.9720.878-0.1220.073-0.0610.0710.0610.022
MinTemp0.0470.1130.0010.1700.044-0.2170.0040.7321.000-0.216-0.397-0.3510.1010.0960.0220.0390.7030.889-0.0640.026-0.0330.1990.1770.177
Month-0.017-0.0180.009-0.016-0.012-0.0880.009-0.174-0.2161.0000.0260.0340.0580.0560.0140.016-0.184-0.151-0.015-0.020-0.0270.0480.0580.049
Pressure3pm-0.085-0.049-0.017-0.1740.0270.1300.019-0.382-0.3970.0261.0000.9420.1310.247-0.0660.080-0.355-0.4140.037-0.0220.071-0.320-0.173-0.099
Pressure9am-0.112-0.087-0.016-0.194-0.0470.0790.050-0.269-0.3510.0340.9421.0000.1760.218-0.1440.130-0.239-0.339-0.0420.0080.030-0.358-0.198-0.141
RainToday0.2990.2580.0110.3650.3750.3700.0460.2310.1010.0580.1310.1761.0000.3130.841-0.270-0.232-0.1010.083-0.0660.0430.1400.0750.097
RainTomorrow0.3370.3360.0160.1000.4840.2660.0470.1620.0960.0560.2470.2180.3131.0000.332-0.465-0.189-0.029-0.005-0.012-0.0100.2030.0760.081
Rainfall0.1760.2920.003-0.0130.4320.442-0.016-0.2980.0220.014-0.066-0.1440.8410.3321.000-0.315-0.300-0.1530.091-0.0670.0510.1230.0670.082
Sunshine-0.551-0.466-0.006-0.041-0.470-0.3940.1070.3170.0390.0160.0800.130-0.270-0.465-0.3151.0000.3460.196-0.0260.006-0.003-0.0480.0650.027
Temp3pm-0.197-0.178-0.0010.193-0.480-0.4520.0040.9720.703-0.184-0.355-0.239-0.232-0.189-0.3000.3461.0000.851-0.1290.076-0.0670.0450.0520.010
Temp9am-0.057-0.045-0.0020.213-0.160-0.431-0.0150.8780.889-0.151-0.414-0.339-0.101-0.029-0.1530.1960.8511.000-0.0900.050-0.0550.1600.1690.137
WindDir3pm0.0240.039-0.0090.0090.0210.010-0.051-0.122-0.064-0.0150.037-0.0420.083-0.0050.091-0.026-0.129-0.0901.000-0.0180.2690.1090.0880.073
WindDir9am-0.026-0.0270.0060.019-0.032-0.0140.0130.0730.026-0.020-0.0220.008-0.066-0.012-0.0670.0060.0760.050-0.0181.0000.0180.0120.016-0.018
WindGustDir0.0200.031-0.0080.003-0.027-0.008-0.029-0.061-0.033-0.0270.0710.0300.043-0.0100.051-0.003-0.067-0.0550.2690.0181.0000.0210.0290.088
WindGustSpeed0.0890.084-0.0110.0920.014-0.187-0.0070.0710.1990.048-0.320-0.3580.1400.2030.123-0.0480.0450.1600.1090.0120.0211.0000.6010.489
WindSpeed3pm0.0300.071-0.0110.0550.043-0.1510.0160.0610.1770.058-0.173-0.1980.0750.0760.0670.0650.0520.1690.0880.0160.0290.6011.0000.473
WindSpeed9am0.0630.068-0.0080.095-0.040-0.282-0.0500.0220.1770.049-0.099-0.1410.0970.0810.0820.0270.0100.1370.073-0.0180.0880.4890.4731.000

Missing values

2024-06-21T17:47:34.322488image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
A simple visualization of nullity by column.
2024-06-21T17:47:35.270576image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2024-06-21T17:47:36.140166image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

DayMonthLocationMinTempMaxTempRainfallEvaporationSunshineWindGustDirWindGustSpeedWindDir9amWindDir3pmWindSpeed9amWindSpeed3pmHumidity9amHumidity3pmPressure9amPressure3pmCloud9amCloud3pmTemp9amTemp3pmRainTodayRainTomorrow
01.012.00.02117513.422.90.613.4659176.3754450.07361044.00.0624910.06253720.024.071.022.01007.71007.18.0000004.45531316.921.80.00.0
12.012.00.0211757.425.10.013.1145486.5600760.06070944.00.0593130.0673994.022.044.025.01010.61007.82.8133064.59500017.224.30.00.0
23.012.00.02117512.925.70.013.1335726.1995900.06699446.00.0624910.06739919.026.038.030.01007.61008.75.0686042.00000021.023.20.00.0
34.012.00.0211759.228.00.013.8136026.5600760.05313724.00.0693150.06026811.09.045.016.01017.61012.82.8133064.59500018.126.50.00.0
45.012.00.02117517.532.31.013.1227794.4438160.07361041.00.0585190.0611787.020.082.033.01010.81006.07.0000008.00000017.829.70.00.0
56.012.00.02117514.629.70.213.9610376.5600760.06070956.00.0624910.07160419.024.055.023.01009.21005.42.8133064.59500020.628.90.00.0
67.012.00.02117514.325.00.013.6034976.8663210.07361050.00.0623170.07160420.024.049.019.01009.61008.21.0000004.49423118.124.60.00.0
78.012.00.0211757.726.70.013.8136026.5600760.07361035.00.0678320.0716046.017.048.019.01013.41010.12.8133064.59500016.325.50.00.0
89.012.00.0211759.731.90.013.2078734.0660370.04938280.00.0693150.0611787.028.042.09.01008.91003.62.6851274.81939618.330.20.01.0
910.012.00.02117513.130.11.414.3776366.6782770.07361028.00.0642530.06604815.011.058.027.01007.01005.72.7178904.28480920.128.21.00.0
DayMonthLocationMinTempMaxTempRainfallEvaporationSunshineWindGustDirWindGustSpeedWindDir9amWindDir3pmWindSpeed9amWindSpeed3pmHumidity9amHumidity3pmPressure9amPressure3pmCloud9amCloud3pmTemp9amTemp3pmRainTodayRainTomorrow
14218315.06.00.0106972.622.50.014.9523046.5600760.06735519.00.0642530.0602689.07.059.024.01025.01021.42.8133064.6621328.822.10.00.0
14218416.06.00.0106975.224.30.014.9523046.5600760.06827324.00.0693150.06026811.011.053.024.01023.81020.02.8133064.66213212.323.30.00.0
14218517.06.00.0106976.423.40.014.9523046.5600760.05498131.00.0642530.06055715.017.053.025.01025.81023.02.8133064.66213211.223.10.00.0
14218618.06.00.0106978.020.70.014.3097546.1995900.05498141.00.0693150.06026819.026.056.032.01028.11024.35.0686047.00000011.620.00.00.0
14218719.06.00.0106977.420.60.014.9523046.5600760.06827335.00.0571800.06026815.017.063.033.01027.21023.32.8133064.66213211.020.30.00.0
14218820.06.00.0106973.521.80.014.9523046.5600760.06827331.00.0571800.06026815.013.059.027.01024.71021.22.8133064.6621329.420.90.00.0
14218921.06.00.0106972.823.40.014.9523046.5600760.06827331.00.0693150.05580313.011.051.024.01024.61020.32.8133064.66213210.122.40.00.0
14219022.06.00.0106973.625.30.014.9523046.5600760.04938222.00.0693150.06261613.09.056.021.01023.51019.12.8133064.66213210.924.50.00.0
14219123.06.00.0106975.426.90.014.9523046.5600760.06798737.00.0693150.0625379.09.053.024.01021.01016.82.8133064.66213212.526.10.00.0
14219224.06.00.0106977.827.00.014.1515274.4699560.07006528.00.0678320.06261613.07.051.024.01019.41016.53.0000002.00000015.126.00.00.0